How are we doing THIS year versus the same period LAST year?
This is a common need in Business Intelligence. In fact, many design specifications for reports make use of a comparison between a selected period (year, quarter, etc) up to a certain date (for example November 15th, 2016) and a summary of the same information for the previous year (i.e. up to November 15th, 2015).
This post shows how to implement this in DeepSee.

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Hi-

I am trying to figure out how to compare two dimension values in a MDX query such that records where two dimension values are the same will be filtered out.

To test this, I have modified the HoleFoods cube in SAMPLES namespace to have a new dimension called RandomRegion

I want to create a MDX query where the [Outlet].[H1].[Region] value is not equal to the [RandomRegion].[H1].[RandomRegion] value.

Here's the query I need to add the filter to:

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In DeepSee, having a customer account cube. The cube includes a time dimension AccountCreationDate.

How do you create a calculated measure to get the total number of accounts from the beginning to a certain date in abscissa ?

I tried many things including this:
AGGREGATE(%TIMERANGE([AccountCreationDate].[H1].[MonthYear].&[190001],[AccountCreationDate].[H1].[MonthYear].CURRENTMEMBER) ,[Measures].[%Count])

But I don't get the right result because the date in abscissa creates a filter on the first date.

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Hi, Community!

This is the 3rd part of DeepSee Web story - Angular base UI for DeepSee Dashboards, see the beginning here.

By design, DSW provides an implementation for every widget in DeepSee library. But there are some extra features in DSW which make solutions built with DSW dashboards more functional. This article describes it.

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Hi, Community!

I’m sure you are using Developer Community analytics built with InterSystems Analytics technology DeepSee:

You can find DC analytics n InterSystems->Analytics menu.

DC Analytics shows interactive dashboards on key figures of DC entities: Posts, Comments, and Members.

Since the last week, this analytics project is available for everyone with source code and data on DC Github!

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What is %SQLRESTRICT

%SQLRESTRICT is a special %FILTER clause for use in MDX queries in InterSystems IRIS Business Intelligence. Since this function begins with %, it means this is a special MDX extension created by InterSystems. It allows users to insert an SQL statement that will be used to restrict the returned records in the MDX Result Set. This SQL statement must return a set of Source Record IDs to limit the results by. Please see the documentation for more information.

Why is this useful?

This is useful because there are often times users want to restrict the results in their MDX Result Set based on information that is not in their cubes. It may be the case that this information may not make sense to be in the cube. Other times this can be useful when there is a large set of values you want to restrict. As mentioned before, this is not a standard MDX function, it was created by InterSystems to handle cases were queries were not performing well or cases that were not easily solved by existing functions.

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The DeepSee Shell Best Practices Series - Example of using the MDX subquery flag in the DeepSee Shell

We have different flags for DeepSee advisors to look into the execution details and the methods DeepSee is using to do calculations.

flag [flagname] [on|off] – Turn a diagnostic on or off.

flag cmbr on|off – Show current member processing.

flag compound on|off – Show rewrite of compound queries.

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Question
Derrek Kegler · Mar 29, 2017
Dollar Ranges

How to setup dollar ranges to get the number of patient accounts. So, I want to capture the number of patient accounts based on the original balance of:
0 to 499
500 to 999
1000 to 2499
5000 to 9999
10000 to 24999
25000 to 49999
50000 to 74000
75000 to 99999

=100000

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One of the most important tasks of dashboards is, on the one hand, to help you perceive data in an aggregated form, and, on the other hand, not to lose the depth of immersion in the data if you need this. One of the tools that help us achieve this result is drill down. It enables us to display several hierarchical levels of data, from aggregated to detailed.

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I currently have an MDX query/calculated measure as per the below:


[DaysOnListRange].[H1].[DaysOnListRange].&[Days 91 - 180]+ [DaysOnListRange].[H1].[DaysOnListRange].&[Days 181 - 365]+
[DaysOnListRange].[H1].[DaysOnListRange].&[Days 365+]

however it currently doesn't sum when there is a blank in the data.
How can I amend this query to include empty cells/only sum cells with data?

I've tried using nonempty but it doesn't appear to work in this context

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Question
Ashok S · Nov 30, 2016
Accessing Deepsee plugin in MDX

Dear All,

From my web page, i am passing filter values to mdx query.

when mdx executes, i am getting Error #5001: Invalid member expression: empty name(2).

when i try the same in samples namespace (patient cube). I got the same error.

Below is my sample MDX from patients cube.

SELECT 
NON EMPTY %KPI("PluginDemo","HighScoreCount",,"%CONTEXT") 
ON 1 
FROM [PATIENTS] 
%FILTER %OR([HOMED].[H1].[ZIP].&[32000])

Result: 0 This works fine.

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Hi all,

I have a dashboard which shows the growth of the months compared with the month from the last year.

The way I found to develop that, it was with a kpi. So, I overrode the %OnLoadKPI method with two mdx:

SELECT NON EMPTY [DataD].[H1].[MothYear].Members ON ROWS, [Measures].[CountVisits] ON COLUMNS FROM SubjectAtendimento %FILTER [DataD].[H1].[Year].&[2016]

SELECT NON EMPTY [DataD].[H1].[MonthYear].Members ON ROWS, [Measures].[CountVisits] ON COLUMNS FROM SubjectAtendimento %FILTER [DataD].[H1].[Year].&[2015]

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Preview Mode was added to InterSystems IRIS Business Intelligence to give designers a quick view of what their resulting Pivot Table will look like without needing to wait for the results to fully execute. This can be beneficial when designing pivot tables because if you are dragging and dropping elements to see how they look/work in your pivot table and seeing if they have the desired data. Since you are exploring and designing, you don't necessarily care about the results at the moment, but you would still like to see how your table looks with the changes you have made.

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